GAN-generated images from the Karolinska Face Dataset

October 20, 2018 ⧗ 3 minute read

This is a gallery of images generated by a CGAN trained on the KDEF dataset. The network consists of a standard deep-convolutional generator and discriminator with added gender and camera perspective conditional features. No measures were taken to prevent mode collapse or stabilize training. The animations were generated frame by frame by sampling the latent space at different locations and interpolating the conditional features. The network overfits strongly, likely due to the small dataset size. Nonetheless it still learns a meaningful and continuous representation of important semantic features.

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